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Cheyenne Seet

PROFILE

Cheyenne Seet

Over a two-month period, this developer delivered twelve features across the ntu-pear/PEAR_patient_service and ntu-pear/PEAR_WebFE repositories, focusing on end-to-end prescription and medical data management. They implemented CRUD operations for prescriptions, diagnoses, and dementia data, integrating FastAPI and React to ensure robust API connectivity and frontend usability. Their work included admin role management, audit trails for medical records, and enhancements to data integrity, accessibility, and navigation. Using TypeScript and SQLAlchemy, they standardized date/time formatting, improved form validation, and introduced safeguards for critical data. These efforts streamlined clinician workflows, strengthened governance, and improved the consistency and auditability of patient data.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

26Total
Bugs
0
Commits
26
Features
12
Lines of code
2,297
Activity Months2

Your Network

16 people

Work History

February 2026

8 Commits • 4 Features

Feb 1, 2026

February 2026 focused on delivering core medical data management capabilities, improving data integrity and auditability, and enhancing admin controls. Across PEAR_WebFE and PEAR_patient_service, we shipped end-to-end CRUD for diagnoses, problems, dementia data, and admin settings, and introduced an audit trail for medical diagnoses to support compliance and traceability. These efforts improve patient data accuracy, streamline clinician workflows, and strengthen governance.

January 2026

18 Commits • 8 Features

Jan 1, 2026

January 2026: Delivered end-to-end prescription management across the PEAR stack, enhanced admin governance and data integrity, and improved UX and accessibility. Features span backend services and WebFE, with robust validations, API integration, standardized date/time formatting, and navigation improvements. Result: faster clinician workflows, reduced data-entry errors, stronger access control, and more consistent, accessible patient data.

Activity

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Quality Metrics

Correctness91.6%
Maintainability85.4%
Architecture85.4%
Performance86.2%
AI Usage22.2%

Skills & Technologies

Programming Languages

JavaScriptPythonTypeScript

Technical Skills

API DevelopmentAPI developmentAPI integrationAxiosFastAPIFrontend DevelopmentNodePydanticReactSQLAlchemyTypeScriptbackend developmentdatabase managementform validationfront end development

Repositories Contributed To

2 repos

Overview of all repositories you've contributed to across your timeline

ntu-pear/PEAR_WebFE

Jan 2026 Feb 2026
2 Months active

Languages Used

JavaScriptTypeScript

Technical Skills

Reactform validationfront end developmentfull stack developmentAPI DevelopmentAPI integration

ntu-pear/PEAR_patient_service

Jan 2026 Feb 2026
2 Months active

Languages Used

Python

Technical Skills

FastAPIPydanticSQLAlchemybackend developmentAPI developmentdatabase management